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• W2108293601 abstract "We apply latent transition analysis (LTA) to characterize transitions over time in substance use behavior profiles among first-year college students. Advantages of modeling substance use behavior as a categorical latent variable are demonstrated. Alcohol use (any drinking and binge drinking), cigarette use, and marijuana use were assessed in a sample (N=718) of college students during the fall and spring semesters. Four profiles of 14-day substance use behavior were identified: (1) Non-Users; (2) Cigarette Smokers; (3) Binge Drinkers; and (4) Bingers with Marijuana Use. The most prevalent behavior profile at both times was the Non-Users (with over half of the students having this profile), followed by Binge Drinkers and Bingers with Marijuana Use. Cigarette Smokers were the least prevalent behavior profile. Gender, race/ethnicity, early onset of alcohol use, grades in high school, membership in the honors program, and friendship goals were all significant predictors of substance use behavior profile." @default.
• W2108293601 created "2016-06-24" @default.
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• W2108293601 date "2010-01-01" @default.
• W2108293601 modified "2023-10-04" @default.
• W2108293601 title "Latent Transition Analysis: Benefits of a Latent Variable Approach to Modeling Transitions in Substance Use" @default.
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• W2108293601 doi "https://doi.org/10.1177/002204261004000106" @default.
• W2108293601 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2909684" @default.
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• W2108293601 hasPublicationYear "2010" @default.
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